Example usage for twitter4j JSONObject JSONObject

Introduction

In this page you can find the example usage for twitter4j JSONObject JSONObject.

Prototype

public JSONObject(String json) throws JSONException

Source Link

Document

Creates a new JSONObject with name/value mappings from the JSON string.

Usage

From source file:twitterapp.TweetsSimilarity.java

/**
 * @param args the command line arguments
 *//* w  w w.  j ava2s.com*/
public static void main(String[] args) throws JSONException, Exception {
    System.out.println(intersection("unpresidented", "unpresidented", "unpresidented"));
    System.out.println(union("unpresidented", "unpresidented", "unpresidented"));
    MongoClient mongo = new MongoClient("localhost", 27017);
    MongoDatabase database = mongo.getDatabase("myTweetdb");

    Document temp;
    JSONObject b, c;
    Double sim[] = new Double[100];
    // String one = a.getString("hashtag");
    String two = "";
    int j = 0;
    int k = 0;
    int y = 0;
    String[] collections = { "hashtagAll", "mentionedAll", "urlAll", "retweetedAll" };
    String[] entities = { "hashtag", "mentioned_users", "url", "retweeted_tweet" };
    Double[][] hashtag = new Double[1000][1000];
    for (j = 0; j < hashtag.length; j++) {
        Arrays.fill(hashtag[j], 0.0);
    }
    j = 0;
    for (int p = 0; p < collections.length; p++) {

        String file = collections[p].concat(".csv");
        System.out.println(file);
        PrintWriter writer = new PrintWriter(file);
        writer.println("Source,Target,Weight,Type");
        MongoCursor<Document> manasou;
        MongoCollection collection2 = database.getCollection(collections[p]);
        manasou = collection2.find().iterator();
        HashMap<String, Integer> count = new HashMap<>();
        String common = "";

        while (manasou.hasNext() && y < 1000) {
            b = new JSONObject(manasou.next());
            String temp1 = b.getString(entities[p]);
            String tokens[] = temp1.split(" ");
            for (int i = 0; i < tokens.length; i++) {
                if (count.containsKey(tokens[i])) {
                    Integer temp2 = count.get(tokens[i]);
                    temp2++;
                    count.replace(tokens[i], temp2);
                } else {
                    count.put(tokens[i], 1);
                }
            }
            y++;
        }
        Iterator<Entry<String, Integer>> count_it = count.entrySet().iterator();
        while (count_it.hasNext()) {
            Entry entry = count_it.next();
            if ((Integer) entry.getValue() > 500) {
                common = common.concat(entry.getKey() + " ");
            }
        }
        System.out.println(common);
        manasou = collection2.find().iterator();
        j = 0;
        while (manasou.hasNext() && j < 1000) {
            b = new JSONObject(manasou.next());
            System.out.println(j);
            MongoCursor<Document> kati2 = collection2.find().iterator();
            k = 0;
            while (kati2.hasNext() && k < 1000) {
                c = new JSONObject(kati2.next());
                if (j < k) {
                    String temp1 = b.getString(entities[p]);
                    String temp2 = c.getString(entities[p]);
                    double temp3 = intersection(temp1, temp2, common) / union(temp1, temp2, common);
                    if (Double.isNaN(temp3)) {
                        temp3 = 1;
                    }
                    String lel = "tweet" + j + "," + "tweet" + k + "," + temp3 + ",Undirected";

                    hashtag[j][k] = hashtag[j][k] + temp3;

                    writer.flush();
                    if (temp3 > 0.2) {
                        writer.println(lel);
                    }

                } else {
                    k++;
                    continue;
                }
                k++;
            }

            j++;

        }

    }
    PrintWriter writer = new PrintWriter("all.csv");
    writer.println("Source,Target,Weight,Type");
    for (j = 0; j < hashtag.length; j++) {
        for (k = 0; k < hashtag.length; k++) {
            if (j < k) {
                double temp1 = hashtag[j][k] / 4.0;
                if (temp1 > 0.2) {
                    String lel = "tweet" + j + "," + "tweet" + k + "," + temp1 + ",Undirected";
                    writer.flush();
                    writer.println(lel);
                }
            }
        }
    }

}